Companies that use Posthog Feature Flags

Source: Analysis of tech stacks from 2,178 companies that use Posthog Feature Flags

I noticed something striking about companies using Posthog Feature Flags: they're all-in on the Posthog ecosystem. These aren't companies casually testing a single tool. They're building their entire product intelligence infrastructure around one platform, with the vast majority also using Posthog's surveys, heatmaps, and session recording capabilities. This tells me they value having a unified view of user behavior rather than stitching together data from multiple vendors.

The pairing that jumps out most is Feature Flags combined with Session Recording. This makes perfect sense for a specific workflow: deploy a new feature behind a flag, watch actual user sessions to see how people interact with it, then decide whether to roll it out broadly or kill it. Add in Heatmaps and you get even more granular insight into what's working. The high adoption of User Surveys alongside Feature Flags suggests these companies validate changes by collecting direct feedback, not just inferring from metrics. They're running tight experimentation loops.

My analysis shows these are clearly product-led companies, likely in growth stage rather than early startup or mature enterprise. They care deeply about shipping fast while minimizing risk, which is exactly what feature flags enable. The fact that relatively few use Posthog Enterprise (only 81 companies) suggests most are mid-market rather than large corporations. These teams are probably engineering-driven, making rapid iteration decisions based on real user data rather than waiting for lengthy sales cycles or executive approval.

Source: Analysis of Linkedin bios of 2,178 companies that use Posthog Feature Flags

I noticed that Posthog Feature Flags users are predominantly building software products, but not in the traditional enterprise sense. These companies are creating consumer-facing platforms, marketplaces, and SaaS tools across diverse verticals. They build AI agents for sales and support, mobile app paywalls, cross-border payment infrastructure, online learning platforms, and digital healthcare services. Many are tech-enabled versions of traditional businesses: real estate lead generation, accounting automation, pet care subscriptions, visa applications. The common thread is they're all shipping digital products that need continuous iteration and testing.

Most of these companies are in early to mid-stage growth. I counted numerous pre-seed and seed stage startups with funding rounds between $500K and $10M, typically with teams of 2-50 employees. There are some scaling companies in the 50-200 employee range with Series A or B funding, but very few mature enterprises. The Y Combinator badges, "backed by" language, and frequent mention of being founded in the last 5 years all signal this is primarily a startup and scale-up tool.